{"id":322,"title":"Response to \"In Silico Validation and Model-Selection Bias in an Artificial Intelligence-Identified Cardiac Biomarker Linking PCOS and Ischaemic Injury\"","title_zh":"对“人工智能识别连接PCOS与缺血性损伤的心脏生物标志物的计算机验证及模型选择偏倚”的回应","url":"https://pubmed.ncbi.nlm.nih.gov/42969391","doi":"10.1093/qjmed/hcag312","pmid":"42969391","journal":"QJM","kind":"paper","lang":"en","published_at":"2026-11-02T00:00:00+00:00","fetched_at":"2026-11-08T03:44:05+00:00","authors":["Pei J","Huang C","Wang K","Guo J"],"primary_topic":"repro-endo","topics":[{"slug":"repro-endo","score":3.0,"hits":["pcos"]},{"slug":"ai-compute","score":3.0,"hits":["artificial intelligence"]}],"topic_score":3.0,"preference_score":0.0,"preference_labels":[],"llm_score":48.0,"final_score":48.0,"score_dims":{"novelty":30,"rigor":30,"impact":35,"relevance":55,"translation":25},"recommend_reason":"属于方法学通讯/回复，缺少摘要和可评估数据，对ART实验室与临床决策的直接价值有限；仅对关注PCOS心血管风险AI建模与模型选择偏倚的读者有参考意义。","keywords":["PCOS","人工智能","模型选择偏倚","计算机验证","心脏生物标志物","通讯"],"selected":0,"story_id":null,"llm_provider":"deepseek","llm_model":"deepseek-flash","llm_effort":"low","source_key":"pubmed-endo-genetics","source_name":"PubMed · 生殖内分泌/遗传/保存","source_tier":1,"mention_count":1,"has_interpretation":false,"journal_key":null,"journal_tier":"unknown","journal_if":null,"is_mock":false,"summary_zh":"该条目为QJM刊发的通讯/回复文章，针对一项声称通过人工智能识别连接多囊卵巢综合征（PCOS）与缺血性心肌损伤的心脏生物标志物的研究，讨论其计算机验证与模型选择偏倚问题。原文未提供摘要，具体回复论点、数据与结论不可见；仅从标题可见其聚焦方法学质疑，而非新的临床或实验发现。","summary":"","interpretation_basis":null,"fulltext_status":null,"interpretation":null,"fulltext":{"available":false,"status":null,"reason":"尚未抓取全文（未入选、分数未达阈值，或还没跑 fulltext 步骤）","pmcid":null,"license":null,"chars":0,"source":null,"fetched_at":null}}